When graphing data, we must consider the variables, label axes, define units of measure. In this case, variables are initial population size / final population size, showing an directly proportional relationship.
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We need to construct a graph illustrating the data in the table.
We can make a <u>dispersion graph</u>. To do it, we need to define variables.
Since we want to know how <em>different initial population sizes affect population growth, </em>
- the independent variable is the initial population size
- the dependent variable is the final population size (after 24 hours)
The final population size depends on the initial population size. This is, <em>the number of individuals at the beginning will </em><em>influence</em><em> the final number of individuals</em>.
- Initial population sizes ⇒X horizontal ax ⇒Unit: Number of individuals
- Final population sizes ⇒ Y vertical ax ⇒ Unit: Number of individuals
By making a dispersion graph, we can represent the effect of the varying initial population sizes on the final population sizes. We can compare these effects and observe how populations grow as the N₀ increases.
We can also choose a <u>bar graph</u>. In this way, we can compare initial and final population sizes.
This graph will show populations and two bars per population.
- Blue bar ⇒N₀⇒ Initial population size
- Red bar ⇒N₁ ⇒ Final population size
- Different populations ⇒ 1, 2, 3, 4, 5 ⇒ Represented in the X horizontal ax
- The number of individuals ⇒ from 1 to 324 ⇒ Represented in the Y vertical ax.
By making a bar graph, we can represent initial and final population sizes and compare them. <em>The population that begins with 1 individual, after 24 hours has 4 individuals. The population that begins with 3 individuals, ends with 9 individuals. And so on</em>.
No matter which graph you choose, you will observe a directly proportional relationship between both variables. The bigger is the initial population size, the bigger it ends after 24 hs.
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Related link: brainly.com/question/24827485
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